Nasdaq has released a white paper with best practices of how to tailor messaging (what is said and how it is said) and utilize data in the digital age.
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How to prepare for earnings calls using machine learning techniques
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The last two decades have seen an exponential increase in technological capabilities and access to data. Technological advancement has provided endless possibilities for developing insights. Within the context of capital markets, text analysis and natural language processing enable market participants to derive insights from news articles, social media, and earnings calls in addition to more structured sources such as annual filings. The inclusion of unstructured text data, primarily analysis of earnings call transcripts, in financial analysis is swiftly becoming ubiquitous across both quantitative and fundamental strategies.
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